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2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)最新文献

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Mobile applications for driver and pedestrian assistance 为司机和行人提供帮助的移动应用程序
J. Balcerek, Karol Piniarski, Michal Urbanek, Karol Szalecki, A. Konieczka
In this paper two applications, which fit into the current trend of the development of mobile devices, are described. The first is designed for the driver and the second for the pedestrian assistance. Two traffic events like traffic lights change from the red to the green and vehicle approaching to pedestrian are detected. Proper warnings are generated and the suitable reaction is performed. The car may start movement without unnecessary delay and the pedestrian may change the movement trajectory in order to avoid an accident. Thus, the proper traffic flow and urban safety improvement are supported. Results of initial experiments show a high efficiency of proposed mobile solutions.
本文介绍了两种适合当前移动设备发展趋势的应用。第一个是为驾驶员设计的,第二个是为行人提供帮助的。检测到交通灯由红变绿和车辆接近行人两个交通事件。产生适当的警告并执行适当的反应。汽车可以在没有不必要延迟的情况下启动运动,行人可以改变运动轨迹以避免事故发生。从而为合理的交通流量和城市安全改善提供支持。初步实验结果表明,所提出的移动解决方案具有很高的效率。
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引用次数: 8
Computer assessment of tremolo feature in the context of evaluation of singing quality 音质评价中颤音特征的计算机评价
E. Pólrolniczak, M. Kramarczyk
Quality of singing is a subjective description of an impression received while listening to the singer. The features that can be related to the quality of singing are among others: intonation, vibrato, tremolo and timbre. This paper presents the results of the analysis of tremolo feature in the singing. The method presented here is developed to estimate the tremolo over singing samples. At the beginning the term of tremolo is defined and differences and similarities to other music terms, as vibrato and wobble, are described. Then the method developed to estimate the tremolo over singing samples is presented. Finally the authors try to find an answer to the question whether the tremolo feature is useful to evaluate the quality of singing.
演唱质量是对听歌手演唱时所获得的印象的主观描述。与歌唱质量相关的特征包括:语调、颤音、颤音和音色。本文介绍了在演唱中对颤音特征的分析结果。本文提出的方法是用来估计唱歌样本上的颤音。一开始,我们定义了颤音这一术语,并描述了它与其他音乐术语的异同,如颤音和颤音。在此基础上,提出了一种基于歌唱样本的颤音估计方法。最后,笔者试图回答颤音特征是否有助于评价歌唱质量的问题。
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引用次数: 3
Stair case perception using monoscopic vision for a teleoperated vehicle 基于单视角的遥控车辆楼梯感知
Asim Qureshi, Raabid Hussain, Rasheeq Ali, Raafay Ijaz, Nasir Rasheed, J. Iqbal, M. Tiwana
This paper presents our approach to staircase detection and perception using monoscopic vision. The simulation of the proposed algorithm is conducted on a 4 degree of freedom teleoperated vehicle. The presented solution can detect a staircase and calculate its angle of inclination thus aiding the operator in setting up controls for the vehicle. The approach relies on multiple 5×5 masks to actively predict staircase from the front then by a combination of blob detecting algorithms predict the angle of inclination. One of the challenges was to make the algorithm efficient so that it can be implemented on low power embedded systems. Results of simulations on various acquired images have been discussed within the contents of the paper. The results have been validated by monitoring values over multiple & different staircases. MATLAB's image processing toolbox has been used to conduct simulations of the algorithm.
本文提出了一种基于单视角的楼梯检测和感知方法。在一辆四自由度遥操作车辆上对所提算法进行了仿真。所提出的解决方案可以检测楼梯并计算其倾斜角,从而帮助操作员设置车辆的控制。该方法依靠多个5×5掩模从正面主动预测楼梯,然后通过组合斑点检测算法预测倾斜角度。其中一个挑战是使算法高效,使其能够在低功耗嵌入式系统上实现。在本文的内容中讨论了各种图像的模拟结果。结果已通过多个不同楼梯的监测值得到验证。利用MATLAB的图像处理工具箱对该算法进行了仿真。
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引用次数: 1
LLR-based hybrid relaying as a countermeasure against an impulsive noise jamming attack 基于llr的混合继电保护对抗脉冲噪声干扰攻击
Wassim Alexan, L. Daoud, Ahmed El Mahdy
A hybrid relaying protocol is proposed in this paper for cognitive radio networks (CRNs) under random jamming attacks of impulsive noise nature. The protocol switches between amplify-and-forward, decode-and-forward or a no-send state depending on the calculated value of the log-likelihood ratio (LLR) of the received signal at each of the randomly distributed cognitive radio (CR) nodes. A LLR-based spectrum sensing scheme is also proposed. Channel estimation is carried out using the sign algorithm (SA). Performance is evaluated in terms of BER and normalized mean squared (MSE) error curves.
提出了一种针对脉冲噪声随机干扰的认知无线网络混合中继协议。该协议根据在每个随机分布的认知无线电(CR)节点上接收信号的对数似然比(LLR)的计算值在放大转发、解码转发或不发送状态之间切换。提出了一种基于llr的频谱传感方案。使用符号算法(SA)进行信道估计。性能是根据误码率和归一化均方误差曲线来评估的。
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引用次数: 2
Application of auto calibration and linearization algorithms to improve sound quality of computer devices 应用自动校准和线性化算法提高计算机设备的音质
J. Kotus
An application of auto calibration and linearization algorithms designed for correcting acoustic characteristics of selected computer devices was presented in the paper. The functionality of the algorithms were presented for two kind of computer devices: ultrabook class computer and portable device of All-In-One type. The algorithms were adjusted for the given type of the device on the basis of series of measurements conducted on several samples of such type of devices. The key details of the algorithms were presented and illustrated by a practical implementation. The essential improvement of the shape of the amplitude characteristic of loudspeakers built in the devices was confirmed by objective measurements. The presented methodology can also be applied for correction of the acoustic path of other kind of mobile devices.
本文介绍了一种用于校正选定计算机设备声学特性的自动校准和线性化算法的应用。介绍了算法在两种计算机设备上的功能:超极本级计算机和一体机便携式设备。算法是根据对这种类型的设备的几个样本进行的一系列测量来调整的。给出了算法的关键细节,并通过实际实现进行了说明。通过客观测量证实了该装置内置扬声器振幅特性形状的本质改进。所提出的方法也可用于其他类型移动设备的声路校正。
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引用次数: 1
Implementation aspects of speaker recognition using Python language and Raspberry Pi platform 使用Python语言和树莓派平台实现说话人识别方面
Radoslaw Weychan, T. Marciniak, A. Dabrowski
The paper presents implementation aspects of real time speaker recognition from Internet radio broadcasts. The proposed solution is based on the free and open source Python development tools. The prepared software was tested with the Windows environment and then adapted to the Unix operating system running on the Raspberry Pi platform. We show what libraries are most convenient in order to implement individual blocks of the speaker recognition algorithm. In the paper we also indicate parameters, for which the algorithm exhibits the greatest efficiency. The prepared software is available on the Github file repository.
介绍了网络广播实时说话人识别的实现方法。建议的解决方案基于免费和开源的Python开发工具。准备好的软件在Windows环境下进行测试,然后在Raspberry Pi平台上运行Unix操作系统。我们展示了哪些库是最方便的,以便实现说话人识别算法的各个块。文中还指出了算法效率最高的参数。准备好的软件可以在Github文件存储库中获得。
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引用次数: 10
Thermal camera cores - present and future 热感相机芯-现在和未来
Harald Dingemans, J. Sobek
Summary form only given. The military has used infrared thermal imaging cameras for many years as a way to see better on the battlefield at night and through smoke. The cores of the thermal cameras have been coming down in prices over the past few years. Now this technology can be used in a wide variety of applications. Thermal camera's cores are designed for easy and efficient integration into higher level assemblies and platforms. This tutorial is made to show present possibilities of fascinating thermal imaging and what is the future of this technology.
只提供摘要形式。多年来,军方一直在使用红外热成像仪,以便在夜间和烟雾中更好地观察战场。在过去的几年里,热像仪的核心价格一直在下降。现在这项技术可以用于各种各样的应用。热像仪的核心设计方便,有效地集成到更高级别的组件和平台。本教程旨在展示当前迷人的热成像的可能性以及该技术的未来。
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引用次数: 0
Ship resistance prediction with Artificial Neural Networks 基于人工神经网络的船舶阻力预测
K. Grabowska, P. Szczuko
The paper is dedicated to a new method of ship's resistance prediction using Artificial Neural Network (ANN). In the initial stage selected ships parameters are prepared to be used as a training and validation sets. Next step is to verify several network structures and to determine parameters with the highest influence on the result resistance. Finally, other parameters expected to impact the resistance are proposed. The research utilizes parameters of 7 already built off-shore vessels, with model parameters available as a result of tests conducted on European towing tanks. Thus, the reference is used to assess ship resistance prediction with the artificial neural network approach.
研究了一种基于人工神经网络(ANN)的船舶阻力预测新方法。在初始阶段,选定的船舶参数准备用作训练集和验证集。下一步是验证几个网络结构,并确定对结果电阻影响最大的参数。最后,提出了影响电阻的其他参数。这项研究利用了7艘已经建造的近海船只的参数,并通过在欧洲拖曳水箱上进行的测试获得了模型参数。从而为利用人工神经网络方法进行船舶阻力预测评估提供了参考。
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引用次数: 13
期刊
2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)
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